One sentence. Multiple systems. Policy-aware. Per-user credentials.
From natural language to cross-system execution in four steps
"Book a flight BOS→NYC and charge my Amex"
AI Hub decomposes intent, applies RAG policies, selects tools
MCP connectors call APIs — flights, payments, email — with user credentials
RAG policies & vault rules enforce limits, approvals & compliance at every step
Three pillars — 🧠 Cerebro, 🌐 Loom, 🧶 Weave. Every backend swappable. Zero lock-in.
15 plugins · 124 tools · Production-ready integrations with per-user credentials and RAG enforcement
13 Tools
Gmail, Outlook, 10+ providers — send, search, drafts, labels, folders with per-user OAuth
6 Tools
Repos, issues, PRs, actions, code search, commits
10 Tools
Charges, refunds, cards, invoices, subscriptions — PCI Level 1 compliant
4 Tools
Proxy to upstream MCP servers — flights, hotels, itinerary management
8 tools
Meetings, free slots, invites
12 tools
Tickets, sprints, boards
9 tools
Messages, channels, search
10 tools
Create, edit, share, PDF
8 tools
SQL/NoSQL, schema, writes
11 tools
K8s, VMs, DNS, certs
7 tools
Datadog, Splunk, dashboards
6 tools
PagerDuty, Twilio, push
8 tools
Okta, Entra, group sync
7 tools
S3, Blob, GCS, pre-signed
5 tools
Rotate keys, check expiry
More plugins coming soon — build your own with the no-code wizard
40+ plugins · 300+ tools across 8 industries — one platform, every vertical
4 Plugins · 38 Tools
Epic EHR — 14 tools
Patient lookup, lab results, prescriptions, referrals, vitals, allergies, encounters, orders, scheduling
HL7 FHIR — 10 tools
Resource read/write/search, bundle, patient match, CDS hooks, terminology, consent
Clinical Trials — 8 tools
Protocol search, enrollment, adverse events, site management, patient matching
Drug Interaction — 6 tools
Interactions, contraindications, dosage calc, formulary lookup
4 Plugins · 36 Tools
Bloomberg Terminal — 12 tools
Quotes, portfolio, risk analytics, trade execution, compliance, FX rates, yield curve
Plaid Banking — 9 tools
Account link, balance, transactions, identity verify, income verify, transfers
QuickBooks — 8 tools
Invoices, payments, expenses, P&L, balance sheet, tax summary
Compliance/KYC — 7 tools
Identity verify, sanctions screen, PEP check, risk score, audit trail
3 Plugins · 26 Tools
Jira Aerospace — 10 tools
Requirement trace, DO-178C compliance, change request, FMEA, certification, audit
Supply Chain — 9 tools
Parts lookup, ITAR compliance, vendor qualify, procurement, quality inspection
Fleet Management — 7 tools
Aircraft status, maintenance schedule, airworthiness directive, MEL/CDL check
3 Plugins · 19 Tools
Westlaw/LexisNexis — 8 tools
Case search, statute lookup, citation check, brief analysis, precedent find
DocuSign/e-Sign — 6 tools
Envelope create, sign request, status check, download signed, bulk send
Billing/Timesheet — 5 tools
Time entry, invoice generate, matter track, trust account, LEDES export
2 Plugins · 18 Tools
SAP Integration — 11 tools
Material master, purchase order, production order, inventory, quality, billing, MRP run
IoT/SCADA — 7 tools
Sensor read, alert threshold, device status, predictive maintenance, OEE calculate
2 Plugins · 14 Tools
Canvas/Blackboard — 8 tools
Grade submit, assignment create, roster sync, quiz generate, plagiarism check
Student Information — 6 tools
Enrollment, transcript, financial aid, advising, degree audit, registration
2 Plugins · 19 Tools
Shopify — 9 tools
Product manage, order process, inventory sync, discount create, fulfillment, analytics
Salesforce CRM — 10 tools
Lead create, opportunity update, contact search, case create, forecast, campaign
Unlimited Plugins
Use the no-code wizard to create a new MCP connector from any REST/gRPC API. Paste an OpenAPI spec, configure tools, and deploy in minutes. Build custom verticals for any industry.
One platform, every industry — build many verticals on a single foundation
Build, Proxy, or Extend — snap connectors together like building blocks
Use the 7-step wizard to create a new MCP connector from any REST/gRPC API. No code required — just paste the OpenAPI spec.
Wrap legacy systems behind the MCP protocol. Internal APIs, SOAP services, mainframes — all become AI-accessible tools.
Add custom logic to existing connectors — validation rules, data transforms, approval workflows — without touching the core.
Credentials and policies cascade from Org → Group → User
Security by architecture, not by afterthought
The LLM receives tool definitions, never credentials or raw data. Zero-knowledge by design.
Credentials are fetched from Vault at execution time, used once, then discarded. Never cached in memory.
5 vault backends supported. All secrets encrypted at rest with AES-256. Rotate keys without downtime.
Payment processing through Stripe’s PCI DSS Level 1 certified infrastructure. Card data never touches our servers.
SAML/OIDC single sign-on, role-based access control, and hierarchical permission scoping per user, group, and org.
Ingest policies from PDFs, URLs, wikis, databases, and blob storage. Sources are chunked, vectorized, and stored in AI search indexes. The agent performs semantic search before every action — enforcing rules automatically. No coding required.
What makes ContextWeaver fundamentally different from everything else on the market
| Capability | LangChain / CrewAI |
Microsoft Copilot |
ServiceNow Now Assist |
Salesforce Einstein |
Context Weaver |
|---|---|---|---|---|---|
| Multi-system orchestration Chain tools across different platforms in one request |
⚠️ Code only Requires Python dev |
❌ M365 only Single ecosystem |
⚠️ ITSM only ServiceNow ecosystem |
❌ CRM only Salesforce ecosystem |
✅ Any system MCP protocol, unlimited |
| Per-user credential isolation Different users get different API keys automatically |
❌ Shared env vars | ⚠️ M365 tokens | ⚠️ ITSM sessions | ⚠️ CRM tokens | ✅ Vault cascade User → Group → Org |
| Hierarchical policy enforcement Org rules + team rules + user preferences, all via document upload |
❌ None | ❌ None | ⚠️ Workflow rules Hardcoded, not RAG |
❌ None | ✅ RAG-based Any data source → vector index |
| No-code plugin builder Non-developers can create new AI integrations |
❌ Python only | ❌ No custom | ⚠️ Flow Designer ITSM-specific |
⚠️ Einstein Builder CRM-specific |
✅ 7-step wizard Any system, drag & drop |
| Cloud-agnostic deployment Run on any cloud or on-premises |
✅ Self-host | ❌ Azure only | ❌ SaaS only | ❌ SaaS only | ✅ Any cloud + on-prem 6 swappable backends |
| Open protocol (MCP) Industry-standard protocol, not proprietary lock-in |
❌ Custom API | ❌ Proprietary | ❌ Proprietary | ❌ Proprietary | ✅ MCP standard Anthropic's open protocol |
| Multi-connector plugins One plugin can access multiple external systems |
⚠️ Code wiring | ❌ No | ❌ No | ❌ No | ✅ N:N attach UI checkbox attach |
| Policy via multi-source knowledge ingestion Ingest from PDFs, URLs, wikis, databases — vectorized into searchable indexes |
❌ No | ❌ No | ❌ No | ❌ No | ✅ Multi-source RAG Files, URLs, wikis, DBs → vector index |
| Same request, different users Different policies, credentials, and outcomes per user |
❌ Same for all | ⚠️ M365 role-based | ⚠️ ITSM roles | ⚠️ CRM profiles | ✅ Full cascade Creds + policies + prefs |
| LLM / AI model choice Swap between AI models without code changes |
✅ Any model | ❌ GPT-4 only | ❌ Their model | ❌ Their model | ✅ Any LLM Azure, Ollama, any API |
| Connector marketplace potential Ecosystem of third-party integrations |
⚠️ PyPI packages | ⚠️ Copilot Plugins | ⚠️ NOW Store | ⚠️ AppExchange | ✅ MCP ecosystem Build + proxy + extend |
| Pricing model Cost structure for enterprises |
✅ Open source | ❌ $30/user/mo + M365 required |
❌ $100+/user/mo Enterprise lock-in |
❌ $50+/user/mo Per cloud pricing |
✅ Free + $29/$99 Community tier free |
Copilot works with M365. Einstein works with Salesforce. Now Assist works with ServiceNow. Each solves ONE ecosystem.
ContextWeaver connects to any system — your CRM, ERP, ITSM, DevOps, comms, payments, and custom internal tools — all in one platform. One prompt can chain actions across all of them.
Other platforms share one API key for everyone. Or worse — put credentials in environment variables.
ContextWeaver resolves credentials per-user, per-request from an encrypted vault. The LLM never sees secrets. Cards never touch the platform. Each tool call is an isolated execution — like separate locked rooms.
Traditional systems enforce rules through code. Change a policy = code change + deploy + testing cycle.
ContextWeaver ingests policy data from any source — PDFs, web pages, wikis (Azure DevOps, Confluence), databases, blob storage, even pasted text. Each source is chunked, embedded into vectors, and stored in searchable AI indexes (Azure AI Search, Elasticsearch, or ChromaDB). Before every action, the AI performs a semantic vector search across these indexes to find applicable rules — at three scope levels: company > team > personal. Change a policy document → the AI's behavior changes instantly. No code. No deploy.
Other AI platforms are monolithic — you get what they built, nothing more.
ContextWeaver is a Lego system. Every connector is a block. Snap them together: Jira + GitHub + K8s = DevOps automation. Stripe + Travel + Email = booking service. Build new connectors, proxy existing MCP servers, or extend and combine — unlimited possibilities for any industry.
Copilot requires Azure. Einstein requires Salesforce Cloud. Now Assist requires ServiceNow instances.
ContextWeaver runs on any infrastructure: Azure, AWS, GCP, or your own servers. Swap the LLM (GPT-4, Claude, Llama, Ollama). Swap the database (Cosmos, MongoDB, PostgreSQL). Swap the vault (Azure KV, HashiCorp, AWS). The application stays the same.
Most enterprise AI platforms serve only internal employees. Consumer-facing AI has no governance.
ContextWeaver serves both. B2B: hierarchical RBAC, audit trails, on-prem deploy, SOC2. B2C: PCI-compliant payments, OAuth social login, per-user isolation, GDPR. Same platform, same security model — whether you have 10 employees or 10 million customers.
Other platforms require days of manual setup, clicking through cloud consoles, and tribal knowledge.
Deploy the entire ContextWeaver platform from scratch in ~20 minutes with Terraform. 9 cloud-agnostic modules, 2 Helm charts (cerebro-app rev 5, mcp1 rev 3), one command. Day-2 operations via helm upgrade / helm rollback. Swap between Azure, AWS, or GCP by changing one directory — same app code, same Helm charts, same security model.
Most AI platforms ship with zero monitoring. When something breaks, you're flying blind.
Built-in SRE monitoring with Prometheus + Grafana + Loki 3. 7 dashboards, 12 alert rules, centralized log aggregation with LogQL search, zero PII — all user IDs are sha256-hashed. Embedded in the app via the Monitoring tab with an iframe dashboard switcher, plus a Cluster View tab showing all namespaces and pod details. Not bolted on as an afterthought.
Deep-dive walkthroughs showing ContextWeaver end-to-end
Book flights, charge cards, send confirmations — all from one sentence with policy enforcement at every step.
View Scenario →Create repos, configure CI/CD, manage PRs and deployments using natural language commands.
View Scenario →AI-powered portfolio analysis, trade execution, and risk management with real-time compliance checks.
View Scenario →Every customer shares the same infrastructure but has complete data and resource isolation.
Each customer runs in its own K8s namespace with strict NetworkPolicy
Per-customer Managed Identity — can only access its own resources
Separate vault, database, and search indexes — data never crosses
Istio mTLS encrypts all traffic — no cross-namespace access allowed
The #1 problem with agentic AI: every user shares the same credentials, the same data, and the same permissions
ContextWeaver was built from day one for multi-user enterprise environments. Identity, credentials, and knowledge boundaries are enforced at the engine level — not bolted on after the fact.
Every tool call carries the authenticated user's identity, injected and enforced at the MCP engine level. The AI agent never decides who the user is — the platform does. No prompt injection can bypass it. MFA-ready via Entra Conditional Access — customer admins can enforce multi-factor authentication on every login.
Credentials resolve through a cascade: User → Group → Org. Each user's API keys live in an encrypted vault partition. The AI agent never sees raw secrets — only the platform injects them at execution time.
RAG indexes are scoped across five levels: User → Group → Org → Plugin → Engine. Private data is invisible to other users. Policies are enforced in code with index-naming conventions and ACLs — not in prompts.
Design, configure, and deploy entire MCP engine topologies from an interactive SVG canvas — no code required
Design MCP engine topologies visually on a pure SVG canvas. Drag engines, plugins, connectors, and sources into place. Every interactive element has real-time tooltips for instant guidance.
Enable or disable plugins with a click. Toggle security settings per-plugin. Attach connectors and configure scopes — all from consolidated visual cards with inline controls.
Configure connector credentials directly on the canvas with integrated vault support. Credentials are resolved through the hierarchical vault cascade — never exposed to the UI or the LLM.
Manage RAG knowledge sources through consolidated cards grouped by scope (User, Group, Org). Add documents, URLs, wikis, and database connections from a single unified interface.
One-click ingest pipeline: chunk → embed → index to Azure AI Search. Sources are automatically processed through Azure OpenAI embeddings and stored in searchable vector indexes.
The visual designer exposes the full RAG cascade: User → Group → Org → Plugin → Engine. Each level's policies are searched at runtime, giving every user a personalized AI experience.
Save your entire engine topology as a blueprint to Cosmos DB. Load, version, and share blueprints across teams. Deploy full topologies from saved designs with one click.
Every interactive element on the canvas shows contextual tooltips. Hover any button, toggle, or card for an instant explanation — making the entire topology design self-documenting and beginner-friendly.
Horizontal card layout of all Kubernetes namespaces with expandable pod details — images, digests, resources, Helm metadata. Double-click to navigate to Visual Designer or Monitoring.
See how ContextWeaver turns natural language into secure, cross-system action.
Protected under U.S. Patent #768758